2017 Field Crop Fungicide Efficacy Tables Now Posted

Damon Smith, Extension Field Crops Pathologist, Department of Plant Pathology, University of Wisconsin-Madison

Northern Corn Leaf Blight symptoms on a corn leaf.

The 2017 fungicide efficacy tables are now posted for foliar diseases of corn, soybeans, and small grains. New this year is an added efficacy table for fungicides effective against seedling diseases of soybean. You can access these tables by clicking directly on the links imbedded in this page or by clicking on the Fungicide Information tab above, and scrolling down the page to find the tables. The efficacy ratings are generated based on independent, University efficacy trial data from across the U.S. If you can’t find a particular product on the table, it is likely that it isn’t commonly used, or there isn’t enough data to confidently generate an efficacy rating. Remember to follow all label recommendations attached to the fungicide container. The label label is the law!

New Resource Available for Grain Production in Low-Margin Years

Damon L. Smith, Extension Field Crops Pathologist, University of Wisconsin-Madison

A new resource “A4137 – Grain Management Considerations in Low-Margin Years” is now available online for download. This fact sheet is meant to assist you in making informed decisions about your production system in a low-margin production year.

To further complement this new resource, the authors which are team Grains specialists, are hitting the road with a series of talks, “Grain Management in Low-Margin Yearsthat address how to best handle different aspects of production during low-margin years. The talks will start in in February of 2017 and will take place at locations throughout the state. Each talk is about a half-hour long with time for Q& A. If one of the presenters is not available for any of the dates, the talks will also be available as high quality video presentations. A hardcopy of the A4137 fact sheet will also be handed out at each meeting.

Talks and speakers (authors) include: 

  1. Soybean Inputs that Deliver the Highest ROI in a Low-Margin Year – Shawn Conley, UW Agronomy, Soybean and Small Grains Specialist 
  2. Practical Weed Management for Low-Margin Years – Dan Smith, UW NPM, Southwest Regional Specialist 
  3. Fundamental Soil Fertility Strategies for Success – Carrie Laboski, UW Soil Science, Soil Fertility/Nutrient Management Specialist 
  4. How to Survive and Thrive on Current Corn Price Projections – Joe Lauer, UW Agronomy, Corn Specialist 
  5. Low Grain Prices = Smart Disease Management Decisions – Damon Smith, UW Plant Pathology, Field Crops Pathology Specialist 
  6. Managing Insects Economically Using Conventional Hybrids and Thresholds – Bryan Jensen, UW Entomology, Field Crops Entomology Specialist 
  7. Machinery/Technology Management and Tillage Considerations to Reduce Operational Costs – Francisco Arriaga, UW Soil Science, Soil Science Specialist and Brian Luck, UW Biological System Engineering, Machinery Specialist 
  8. Partial Budget Analysis: A Practical Tool for Low Margin Years – Paul Mitchell, UW Ag & Applied Econ, Cropping Systems Specialist 

CLICK HERE For information on specific locations and host agent contact e-mail.

For additional information, contact Ted Bay at ted.bay@ces.uwex.edu or Damon Smith at damon.smith@wisc.edu

2016 Wisconsin Field Crops Pathology Fungicide Tests Summary Now Available

Damon L. Smith, Extension Field Crops Pathologist, University of Wisconsin-Madison

The 2016 Wisconsin Field Crops Pathology Fungicide Tests Summary is now available online as a downloadable PDF. This report is a concise summary of pesticide related research trials conducted in 2016 under the direction of the Wisconsin Field Crops Pathology program in the Department of Plant Pathology at the University of Wisconsin-Madison.  We thank many summer hourlies and research interns for assisting in conducting these trials.  We would also like to thank Carol Groves, Jaime Willbur, Megan McCaghey, Bryan Jensen, John Gaska, Adam Roth and Shawn Conley for technical support.

Mention of specific products in this publication are for your convenience and do represent an endorsement or criticism.  This by no means is a complete test of all products available.  You are responsible for using pesticides according to the manufacturers current label.  Follow all label instructions when using any pesticide.  Remember the label is the law!

To download the current report, or past reports visit the SUMMARIES page by clicking here.

Team Grains Tackles Profitability in Low-Margin Years

General AgronomyTeam grains specialists are hitting the road with a series of talks, “Grain Management in Low-Margin Years” and an accompanying fact sheet that address how to best handle different aspects of production during low-margin years. The talks will start in in February of 2017 and will take place at locations throughout the state. Each talk is about a half-hour long with time for Q& A. If one of the presenters is not available for any of the dates, the talks will also be available as high quality video presentations. For each location, the agent or sponsor can decide what topics to include and a flyer template is available to customize and promote the event. 

Talks and speakers include: 

  1. Soybean Inputs that Deliver the Highest ROI in a Low-Margin Year – Shawn Conley, UW Agronomy, Soybean and Small Grains Specialist 
  2. Practical Weed Management for Low-Margin Years – Dan Smith, UW NPM, Southwest Regional Specialist 
  3. Fundamental Soil Fertility Strategies for Success – Carrie Laboski, UW Soil Science, Soil Fertility/Nutrient Management Specialist 
  4. How to Survive and Thrive on Current Corn Price Projections – Joe Lauer, UW Agronomy, Corn Specialist 
  5. Low Grain Prices = Smart Disease Management Decisions – Damon Smith, UW Plant Pathology, Field Crops Pathology Specialist 
  6. Managing Insects Economically Using Conventional Hybrids and Thresholds – Bryan Jensen, UW Entomology, Field Crops Entomology Specialist 
  7. Machinery/Technology Management and Tillage Considerations to Reduce Operational Costs – Francisco Arriaga, UW Soil Science, Soil Science Specialist and Brian Luck, UW Biological System Engineering, Machinery Specialist 
  8. Partial Budget Analysis: A Practical Tool for Low Margin Years – Paul Mitchell, UW Ag & Applied Econ, Cropping Systems Specialist 

CLICK HERE For information on specific locations and host agent contact e-mail.

For additional information, contact Ted Bay at ted.bay@ces.uwex.edu or Damon Smith at damon.smith@wisc.edu

2016 Wisconsin Pest Management Update Tour Slides Now Live!

Damon L. Smith, Extension Field Crops Pathologist, University of Wisconsin-Madison

Yet another Wisconsin Pest Management Update Tour is in the books. It was great to see everyone again this year. I hope you found value in the presentations and that information can improve farm productivity.  As promised, I have uploaded the slides from the 2016 tour with some of our preliminary data from 2016. You can download a PDF by CLICKING HERE. Hope to see you at a winter meeting near you!

Phomopsis seed decay – An Increasing Issue for Delayed Soybean Harvest in Wisconsin

Damon L. Smith, Extension Field Crops Pathologist, University of Wisconsin-Madison

Figure 1. Soybean seed affected by Phomopsis seed decay on the left compared to healthy seed on the right.

Figure 1. Soybean seed affected by Phomopsis seed decay on the left compared to healthy seed on the right.

As the rain continues in Wisconsin and the 2016 soybean harvest gets delayed longer, Phomopsis seed decay is going to become an increasing concern. Phomopsis seed decay (Fig. 1) of soybean is caused by the fungus Diaporthe longicolla which is the same fungus that causes pod and stem blight (Fig. 2). This fungus also causes “zone lines” that are often observed in split stems and tap roots. These “zone lines” were once thought to be cause by the charcoal rot fungus, but we now know that is incorrect. You can learn more about “zone lines” by CLICKING HERE.

What does Phomopsis seed decay look like?

The fungus that causes Phomopsis seed decay can infect soybean plants early in the season and colonize pods and infect seeds near, or at maturity. Infected seed will often be shriveled or undersized (Fig 1.) and can have a white or chalky appearance. If pods are opened in the field a white cottony “mold” (different than that of white mold) can be observed. Infected seed can pass the Phomopsis seed decay fungus on in seedlings of the next soybean crop. Therefore, it is important to identify Phomopsis seed decay especially in soybean-seed fields.

Figure 2. Symptoms and signs of soybean pod and stem blight.

Figure 2. Symptoms and signs of soybean pod and stem blight.

What conditions are favorable for Phomopsis seed decay?

Warm and wet weather during pod fill and maturity favor the development of Phompsis seed decay. The conditions were prevalent throughout much of the state in of Wisconsin in 2016. Soybean varieties that matured early are also more prone to Phompsis seed decay. Other stresses such as nutrient deficiencies or virus infections can also increase the occurrence of Phompsis seed decay. Infested seed is a likely source of Phompsis seed decay, however, the fungus can survive on soybean debris and certain weeds like velvetleaf.

How should I handle soybeans with Phomopsis seed decay?

Scout fields before harvest to get an idea of how much Phomopsis seed decay you might have in a field. Scout multiple plants in at least 5 locations in a field, opening pods to determine if Phomopsis seed decay is present. In fields where Phomopsis seed decay is observed, harvest should be prioritized as soon as combines can enter the field. Seed infected with the Phomopsis seed decay fungus will continue to rot in the pod until they are harvested.

How should I manage Phomopsis seed decay in the 2017 soybean crop?

Harvested grain intended to be seed for the 2017 crop should be cleaned thoroughly and undersized or damaged seed removed. Seed with an extremely high incidence of Phomopsis seed decay should not be used. Using a fungicide seed treatment may help improve emergence of infected seed. Resistant soybean varieties should also be used. Choose later maturing varieties appropriate for your location. Earlier maturing varieties tend to be more susceptible to Phomopsis seed decay. Finally, cultural practices such as rotation (corn or wheat are preferred) and tillage to manage infested residue should be considered in high-risk fields.

Additional Resource

A fact sheet about Pod and Stem blight and Phomopsis seed decay has been developed by a consortium of soybean extension pathologists. You can download that fact sheet by clicking here.

 

Question of the week: What is up with all of this white mold on soybeans?

Damon Smith, Extension Field Crops Pathologist, University of Wisconsin-Madison

Damage from white mold in a soybean field under irrigation.

Damage from white mold in a soybean field under irrigation.

I have been getting a lot of questions this week about the perceived large amount of white mold in soybeans in Wisconsin. There is more white mold out there than we predicted. However, there is also some confusion out there on how all this white mold got there and how to interpret the amount of white mold as it relates to yield loss. Below is a great question I received today and will try to answer below.

Question

What is up with all this white mold? Here is my interpretation of what is going on, correct me if I’m wrong. White mold infection happens at R1, way back in June, but disease symptoms (flagging plants) show up in late July and August, correct?  While the plant got infected in June, the weather needs to be right for the disease to grow – cool nights, warm days and wet conditions. As we go into August these conditions are more common and the disease appears to be spreading when actually it was already there it just needed the right weather to explode? Also I think we often over estimate the amount of infection, it just looks bad, but infection rates are not as high as we think.  If we lose 2 to 5 bushels for every 10% increase by R7, that means if we have a 10% infection rate, we may lose a very small amount 2 bushel or more, maybe 5  bushels.   Assuming 130,000 plants per acre, that would require 13,000 plants per acre to be infected, correct?.

Answer

I’ll answer the easier part of the question first.

  1. Yes, everyone over-rates severity of white mold.  Because it makes those bleached stems that look horrible, everyone estimates it much higher than it is. I had a person tell me that he had a field that was 60-70% white mold. I asked him, “you mean to tell me there are 6-7 plants out of every ten plants in that field infected?” He stopped a minute and then thought about his answer again. Our field crew has rated about 20 fields around the state, in addition to our research plots. In production fields incidence ranges from 0-30% with most in the 10% range. We make 25 stops in a field. We rate the plants in 1 meter for two rows at that stop. We count all the plants in that one meter to establish the stand number, and then count infected plants. We then take a severity index rating too. I try to encourage people to make random stops and count the stand and then infected plants and not try to visually estimate. As humans, we make everything worse – its habit. So yes, at 10% and a stand of 130,000 plants you would need to have 13,000 plants per acre showing symptoms before you can detect reliable yield loss. Sure, you might have sections and pockets where you will have white mold and high yield loss, while other sections of the field yield really well, offsetting that loss. So you need to look across the whole acre to get a good estimate.
  2. Now for the hard part. The data, ours included, show that you have to have apothecia during bloom for infections.  Yes, some plant-plant touching can spread the pathogen, but our data suggest that this method is infrequent. In 2016, the weather during the major part of bloom was really too warm and our models suggested this. However, here is what I’m thinking happened based on our observations and what we know about the white mold fungus biology. First, we had above average rain. Frequent rains can cool the plant canopy and offset the ambient temperature. This fungus is super sensitive to temperature. More so than moisture. Our lab and other labs have done a lot of work on this and it always comes back to temperature that is most important for the white mold fungus. Also, because we had good growing conditions, rows closed quickly this year, giving us thick canopy even at R1; bloom often started early this year. A lot of our soybean varieties are indeterminate and can have an extended flowering period. This also doesn’t help our case. The longer that bloom lasts or flowers are present, the longer the crop is at risk for white mold.  The weather has continued to be conducive now for apothecia.  We continue to find apothecia right now (Mid-August) in our plots and my student is still trapping white mold fungus spores.  This is unusual, but given that the canopy is thick and the weather is mild, not entirely surprising. If there are blooms out there, these spores are infecting. There is about a 10-14 day incubation period in the field. So fresh infections you are seeing now happened in early August. All of this just depends on when the crop bloomed and how long it bloomed for. So, late-planted soybeans with extended bloom periods probably got hit pretty hard. White mold is definitely heavier north of Arlington, Wisconsin.  So I think having a slightly later planting and bloom period coincided with conducive temperature.

Summary

There is a lot of white mold out there. Be diligent in trying to assess the damage. Don’t just visually estimate incidence. Actually make 10-20 stop per acre and count plants with white mold and also total stand at that stop. Convert the white mold numbers to percentage based on the stand count. The rule of thumb is that for every 10% increase in white mold incidence yield loss with range between 2 and 5 bushels.

 

White Mold Showing Up in Wisconsin

Damon Smith, Extension Field Crops Pathologist, University of Wisconsin-Madison

Wilting and plant death as a result of Sclerotinia stem rot. Photo Credit: Craig Grau.

Wilting and plant death as a result of Sclerotinia stem rot. Photo Credit: Craig Grau.

The UW Fields Crops Pathology team has begun to scout for white mold symptoms in soybean fields around the state. Generally white mold incidence has been relatively light in fields we have visited in the southern half of the state. Some pockets of higher incidence do exist, but pressure has been generally low.

Incidence in the northern half of the state is higher. We have visited fields as far north as Bloomer, Wisconsin and have observed incidence ranging from 3% to 20% of plants infected. Reports from areas in the northwest and northeast also confirm similar findings. Most of the soybean crop is at the R5 growth stage, with some earlier maturing fields approaching R6. Questions have arisen about spraying fungicide now to reduce the damage caused by white mold and preserve yield. The short answer is NOThe reason is that the primary means of infection by the white mold fungus is through soybean flowers. These infections happened several weeks ago. Therefore, the optimal time to spray would be when flowers were out. A low level of plant-to-plant transmission can occur late in the season in soybeans. However, this rate is low enough, that spraying to prevent it does not produce favorable results.

Figure 1. White mold severity index ratings for soybeans treated with or without fungicide at the R5 growth stage.

Figure 1. White mold severity index ratings for soybeans treated with or without fungicide at the R5 growth stage.

In 2014 we conducted a trial where we applied the fungicide Aproach and Endura to soybeans already showing symptoms of white mold and compared these treatments to a non-treated check. These were plots in a production field. We rated them for severity at the time of application and then again 2 weeks later. We also collected yield data.

Aproach and Endura both have good efficacy on white mold when they are applied at the right time. However when applied late (R5 growth stage), like we did in this trial, we noticed no ability of these products to reduce disease advancement. Figure 1 shows the disease severity index ratings of the two treatments compared to the non-treated check. On the left are the pre-spray ratings and on the right are the post-application ratings. All treatments resulted in basically an equal increase in disease. Figure 2 shows the average yield for each treatment. You will notice that there is no statistical separation in yield, with only about a 2 bushel difference among treatments. In fact the yield for all treatments was equally low. There was no response out of these fungicides at this late application timing. Had the timing been appropriate (R1 to R3 growth stages) then we might expect a greater than 10 bushel response out of Aproach and Endura.

Figure 2. Yield of white mold-symptomatic soybeans treated with fungicide at the R5 growth stage or not treated.

Figure 2. Yield of white mold-symptomatic soybeans treated with fungicide at the R5 growth stage or not treated.

How much soybean yield might I lose from white mold?

Research has demonstrated that for every 10% increase in the number of plants that are infected with white mold at the R7 growth stage, you can expect between 2 to 5 bushels of yield loss. Thus, the fields I mentioned earlier will likely range from little detectable yield loss (3% incidence) to as high as 10 bushels lost (20% incidence).

What should I do if I see white mold in my soybean field now?

Get out and survey your fields for white mold. It is a good idea to determine how much white mold you have in your fields, so you can make some educated harvest decisions. One way to move white mold from one field to the next is via combines. You could clean your combine between each field, but this can be time consuming. So my determining which fields have no white mold and which fields have the most white mold, you can develop a logical harvest order by beginning your harvest on fields with no white mold and working your way to the heavily infested fields. This will help reduce spread of the white mold fungus to fields that aren’t infested. You can also make some decisions on your rotation plan and future soybean variety choices based on these late season observations.

If you would like to learn more about white mold and management of this disease, CLICK HERE to download a fact sheet from the crop protection network. You can also watch a short video about white mold by CLICKING HERE.

Wisconsin White Mold Risk Map – July 27, 2016

Damon L. Smith, Extension Field Crops Pathologist, University of Wisconsin-Madison

Jaime Willbur, Graduate Research Assistant, University of Wisconsin-Madison

Sclero-cast: A Soybean White Mold Prediction Model

**This tool is for guidance only and should be used with other sources of information and professional advice when determining risk of white mold development. We encourage you to read the model how-to guide which can be downloaded by clicking here**

Risk of apothecial presence and subsequent white mold development risk has declined to the point that most of Wisconsin has no risk or low risk. Hot weather has continued to push the risk lower. The UW Field Crops Pathology crew has continued to scout production fields and has not found many fields with any apothecia. It is possible to find more apothecia in some irrigated fields. The window of opportunity to apply fungicides to control white mold in soybean is nearly over (Fungicides are not recommended after the R3 growth stage). Focus for our team will shift to looking for the disease next week in research plots and production fields.

White Mold Risk Map - July 27, 2016

White Mold Risk Map – July 27, 2016

 

This model was developed at the University of Wisconsin-Madison in conjunction with Michigan State University to identify at-risk regions which have been experiencing weather favorable for the development of white mold fungus apothecia. Weather information and maps are provided by the Soybean Integrated Pest Information Platform for Extension and Education (iPIPE), which is managed by ZedX, Inc. This model predicts when apothecia will be present in the field using 30-day averages of maximum temperature, maximum relative humidity, and maximum wind speed. Using virtually available weather data, predictions can be made in most soybean growing regions. Based on these predictions, this map is generated and indicates areas at no (white), low (blue), medium (yellow), and high (red) risk levels. Fields in yellow or red areas have >40% chance of having apothecia present and may be at risk of white mold developing later in the season. Model predictions must be combined with soybean growth stage and canopy characteristics to aid in timing of fungicide sprays. If the model is predicting medium to high risk in your area, soybeans are flowering, and the canopy is somewhat closed, then the white mold risk is elevated. For further information on how to use and interpret this risk map, CLICK HERE to download a how-to guide.

Wisconsin White Mold Risk Map – July 22, 2016

Damon L. Smith, Extension Field Crops Pathologist, University of Wisconsin-Madison

Jaime Willbur, Graduate Research Assistant, University of Wisconsin-Madison

Sclero-cast: A Soybean White Mold Prediction Model

**This tool is for guidance only and should be used with other sources of information and professional advice when determining risk of white mold development. We encourage you to read the model how-to guide which can be downloaded by clicking here**

Risk of apothecial presence and subsequent white mold development risk has declined over the last week across the state of Wisconsin. Hot weather has reduced this risk substantially. Three-day forecasts show continued stability of low risk throughout much of the state. The UW Field Crops Pathology crew has scouted 10 production fields in southern and south-central Wisconsin over the last week. These activities have yielded very low numbers of apothecia in naturally infested, dry-land fields. This is consistent with the low predictions by the model. Risk for white mold in irrigated fields can be elevated above that predicted by this model. In irrigated fields around Hancock, larger numbers of apothecia have been observed. Risk in this portion of the state has been shown to be low (blue color), however, irrigation modifies this risk to a more moderate level. The window of opportunity to apply fungicide to control white mold in soybean is rapidly closing. In another 7-10 days optimal timing of fungicide application will have passed for much of the soybean production area in the state. Be sure to consult the how-to guide for assistance in interpreting this map if you are considering spraying fungicide to control white mold.

White Mold Risk - July 22, 2016

White Mold Risk – July 22, 2016


This model was developed at the University of Wisconsin-Madison in conjunction with Michigan State University to identify at-risk regions which have been experiencing weather favorable for the development of white mold fungus apothecia. Weather information and maps are provided by the Soybean Integrated Pest Information Platform for Extension and Education (iPIPE), which is managed by ZedX, Inc. This model predicts when apothecia will be present in the field using 30-day averages of maximum temperature, maximum relative humidity, and maximum wind speed. Using virtually available weather data, predictions can be made in most soybean growing regions. Based on these predictions, this map is generated and indicates areas at no (white), low (blue), medium (yellow), and high (red) risk levels. Fields in yellow or red areas have >40% chance of having apothecia present and may be at risk of white mold developing later in the season. Model predictions must be combined with soybean growth stage and canopy characteristics to aid in timing of fungicide sprays. If the model is predicting medium to high risk in your area, soybeans are flowering, and the canopy is somewhat closed, then the white mold risk is elevated. For further information on how to use and interpret this risk map, CLICK HERE to download a how-to guide.